{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/488fc05961904fbcbf8aa94dba1a583b\" frameborder=\"0\" width=\"1620\" height=\"1215\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1215,"width":1620,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1215,"thumbnail_width":1620,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/488fc05961904fbcbf8aa94dba1a583b-3fe5283b5893fdd1.gif","duration":224.452,"title":"Personal - Gamma - ARCeH Externship Presentation | Gamma - Personal - 4 November 2026","description":"This Loom explains where blood-led measurement could matter most for reducing med-attributable intellectual disability in children under five. The speaker shows a relationship between higher blood lead exposure and higher disability rates per 100,000 children aged under five, using Global Burden of Diseases 2023, and notes three patterns: a general trend, an outlier, and a neighboring gap. Taiwan stands out as having markedly more exposure than most places yet the lowest disability rate, while China, Indonesia, Thailand, and Vietnam are among the few with measured child blood lead data in 2000 to 2020, with other places relying on variant estimates. The speaker cites limits including shared inputs in GBD, sparse measurements even where data exists, and a mismatch in ages between exposure (all ages) and disability (under-fives), then asks for a partner with researchers in Vietnam and Thailand to audit existing blood lead data in Cambodia, Myanmar, and Timor-Leste."}